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Arrow@TU Dublin
Conference object . 2013
Data sources: Arrow@TU Dublin
https://doi.org/10.1109/upec.2...
Article . 2013 . Peer-reviewed
Data sources: Crossref
TU Dublin Research Portal
Conference object . 2013
License: CC BY NC SA
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Fault identification of LCC HVDC using signal processing techniques

Authors: Paily, Benish; Basu, Malabika; Conlon, Michael;

Fault identification of LCC HVDC using signal processing techniques

Abstract

Line commutated HVDC (LCC HVDC) technology has been in operation with a high level reliability and little maintenance requirements for more than 30 years. This technology plays an important role in particular in the wind energy industry. The current-source based or classical LCC-HVDC systems are being considered for buried cable transmission as well as overhead transmission. The fault analysis and protection of LCC-HVDC system is a very important aspect in terms of power system stability. This paper presents a comparative study of abc to dq0 transformation, and wavelet transform-based analysis for the identification of faults in an LCC HVDC system.

Country
Ireland
Related Organizations
Keywords

power overhead lines, HVDC power transmission, Electrical and Computer Engineering, power cable

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green